Information Package / Course Catalogue
Computer and Artificial Intelligence Literacy
Course Code: YZO109
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 1
Prt.: 1
Credit: 2
Lab: 0
ECTS: 4
Objectives of the Course

The aim is to provide information about computer hardware and peripherals, to understand the basic components of the computer in detail, the working logic of the computer, office programs, artificial intelligence applications, the system requirements for artificial intelligence and their importance.

Course Content

Information about computer hardware and peripherals, detailed understanding of the computer's basic components, operating principles, vital applications, system requirements for artificial intelligence

Name of Lecturer(s)
Assoc. Prof. Özel SEBETCİ
Learning Outcomes
1.Identify the hardware units that make up the computer.
2.Knows the basic working principle of the computer.
3.Knows the importance and requirements of the components in the system.
4.Have knowledge about peripherals and their purposes of use.
5.Learns the hardware and components needed by artificial intelligence.
Recommended or Required Reading
1.Artificial Intelligence Literacy NOBEL AKADEMİK YAYINCILIK
Weekly Detailed Course Contents
Week 1 - Theoretical
Definition and historical development of the computer, basic hardware units and operating principles
Week 2 - Theoretical
Peripherals and features
Week 3 - Theoretical
Motherboard types and features, ROM, BIOS, POST
Week 4 - Theoretical
Processors (CPU), history, development,
Week 5 - Theoretical
Memory types, differences and detailed features
Week 6 - Theoretical
Web and Internet-Based Communication, Computer Use and File Management
Week 7 - Theoretical
Word Processors
Week 8 - Theoretical
Presentations (Midterm exam)
Week 9 - Theoretical
Spreadsheets
Week 10 - Theoretical
Database Applications
Week 11 - Theoretical
Artificial intelligence and its usage areas
Week 12 - Theoretical
Artificial intelligence applications and examples
Week 13 - Theoretical
Hardware requirements according to artificial intelligence application areas
Week 14 - Theoretical
Components and system design used in artificial intelligence applications
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141128
Lecture - Practice141128
Project25622
Midterm Examination110111
Final Examination110111
TOTAL WORKLOAD (hours)100
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
OÇ-1
4
4
5
5
4
5
4
5
5
5
5
5
OÇ-2
5
5
5
5
4
5
4
5
4
5
4
5
OÇ-3
5
5
5
5
4
5
4
5
4
4
5
5
OÇ-4
5
5
5
5
5
4
5
4
5
4
5
4
OÇ-5
4
5
4
5
5
5
4
4
4
4
4
4
Adnan Menderes University - Information Package / Course Catalogue
2026